| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 25 | | tagDensity | 0.28 | | leniency | 0.56 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 93.96% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 828 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 45.65% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 828 | | totalAiIsms | 9 | | found | | 0 | | | 1 | | | 2 | | word | "skipped a beat" | | count | 1 |
| | 3 | | | 4 | | | 5 | | | 6 | | | 7 | |
| | highlights | | 0 | "beacon" | | 1 | "familiar" | | 2 | "skipped a beat" | | 3 | "silence" | | 4 | "weight" | | 5 | "unspoken" | | 6 | "comforting" | | 7 | "sanctuary" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "weight of words/silence" | | count | 1 |
|
| | highlights | | 0 | "the weight of unspoken words" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 45 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 45 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 63 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 828 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 43 | | wordCount | 546 | | uniqueNames | 10 | | maxNameDensity | 2.75 | | worstName | "Rory" | | maxWindowNameDensity | 5.5 | | worstWindowName | "Rory" | | discoveredNames | | Carter | 1 | | Rory | 15 | | Raven | 2 | | Nest | 2 | | Soho | 1 | | Silas | 6 | | London | 2 | | Eva | 12 | | Cardiff | 1 | | Wales | 1 |
| | persons | | 0 | "Carter" | | 1 | "Rory" | | 2 | "Raven" | | 3 | "Silas" | | 4 | "Eva" |
| | places | | 0 | "Soho" | | 1 | "London" | | 2 | "Cardiff" | | 3 | "Wales" |
| | globalScore | 0.126 | | windowScore | 0 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 42 | | glossingSentenceCount | 3 | | matches | | 0 | "quite reach her eyes" | | 1 | "appeared beside them, his presence comforting in its familiarity" | | 2 | "felt like a sanctuary" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 828 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 63 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 30 | | mean | 27.6 | | std | 16.46 | | cv | 0.596 | | sampleLengths | | 0 | 72 | | 1 | 12 | | 2 | 10 | | 3 | 41 | | 4 | 68 | | 5 | 7 | | 6 | 31 | | 7 | 16 | | 8 | 19 | | 9 | 26 | | 10 | 25 | | 11 | 44 | | 12 | 35 | | 13 | 10 | | 14 | 49 | | 15 | 28 | | 16 | 22 | | 17 | 13 | | 18 | 27 | | 19 | 10 | | 20 | 9 | | 21 | 13 | | 22 | 28 | | 23 | 30 | | 24 | 26 | | 25 | 32 | | 26 | 26 | | 27 | 10 | | 28 | 41 | | 29 | 48 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 45 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 85 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 63 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 547 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 14 | | adverbRatio | 0.025594149908592323 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.005484460694698354 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 63 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 63 | | mean | 13.14 | | std | 7.08 | | cv | 0.539 | | sampleLengths | | 0 | 17 | | 1 | 18 | | 2 | 16 | | 3 | 21 | | 4 | 11 | | 5 | 1 | | 6 | 7 | | 7 | 3 | | 8 | 11 | | 9 | 8 | | 10 | 22 | | 11 | 15 | | 12 | 5 | | 13 | 23 | | 14 | 17 | | 15 | 8 | | 16 | 7 | | 17 | 10 | | 18 | 21 | | 19 | 13 | | 20 | 3 | | 21 | 11 | | 22 | 8 | | 23 | 8 | | 24 | 18 | | 25 | 8 | | 26 | 17 | | 27 | 12 | | 28 | 32 | | 29 | 19 | | 30 | 16 | | 31 | 10 | | 32 | 10 | | 33 | 39 | | 34 | 6 | | 35 | 22 | | 36 | 10 | | 37 | 12 | | 38 | 6 | | 39 | 7 | | 40 | 17 | | 41 | 10 | | 42 | 10 | | 43 | 6 | | 44 | 3 | | 45 | 13 | | 46 | 7 | | 47 | 21 | | 48 | 13 | | 49 | 17 |
| |
| 67.20% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.4126984126984127 | | totalSentences | 63 | | uniqueOpeners | 26 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 45 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 10 | | totalSentences | 45 | | matches | | 0 | "She took a seat at" | | 1 | "She nodded, leaning back on" | | 2 | "He nodded, setting a glass" | | 3 | "She took a sip, savoring" | | 4 | "It was a ritual, her" | | 5 | "It was Eva, her old" | | 6 | "She hurried over, and the" | | 7 | "he asked, his voice low" | | 8 | "They clinked glasses, a toast" | | 9 | "He raised his glass in" |
| | ratio | 0.222 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 42 | | totalSentences | 45 | | matches | | 0 | "Aurora Carter, known to her" | | 1 | "The distinctive green neon sign" | | 2 | "She took a seat at" | | 3 | "Silas greeted, his hazel eyes" | | 4 | "She nodded, leaning back on" | | 5 | "He nodded, setting a glass" | | 6 | "She took a sip, savoring" | | 7 | "It was a ritual, her" | | 8 | "Rory's heart skipped a beat." | | 9 | "It was Eva, her old" | | 10 | "Eva's blonde hair was cut" | | 11 | "Rory breathed, nearly spilling her" | | 12 | "Eva's face lit up, a" | | 13 | "She hurried over, and the" | | 14 | "Eva said, pulling back to" | | 15 | "Rory managed a smile, though" | | 16 | "Eva slid into the stool" | | 17 | "Rory shrugged, her fingers tightening" | | 18 | "Eva nodded, her gaze drifting" | | 19 | "Silas placed a glass of" |
| | ratio | 0.933 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 45 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 3 | | matches | | 0 | "Silas greeted, his hazel eyes crinkling at the corners" | | 1 | "Rory asked, her voice gentle" | | 2 | "he asked, his voice low and steady" |
| |
| 70.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "Rory breathed (breathe)" | | 1 | "Rory assured (assure)" |
| | dialogueSentences | 25 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0.4 | | effectiveRatio | 0.16 | |